The Twelfth OMISAR Workshop on Ocean Models Comparison and study of WEN Model and SWAN Model 1 1 Hu Wei , Changlong Guan ABSTRACT This paper is concerned with the comparison and study of WEN Model, a new approach to wave modeling, and a typical wave action model [Simulation Waves Nearshore(SWAN)]. Through different model cases, including the ο ο ο ο modeling in the Bohai sea ( 117 32′E − 122 16′E , 37 6′N − 40 56′N ) and the ο ο ο ο modeling in the Northwest Pacific ocean( 119 E − 129 E , 20 N − 30 N ) of both WEN and SWAN,simulated significant wave height and significant wave period of the two models are compared with measured data, and the wave spectrum of the two models are also compared. From the comparison result, we include that the computed spectra of WEN and SWAN model have the similar spectral shape, and the simulated significant wave height by WEN model generally agrees with that observed, but has deviation from the observed data when wave height is small. INTRODUCTION The state of the art in medium- and large-scale wave modeling today is the third-generation wave model, which solves the spectral action balance equation without prior assumption of spectral shape. The performance of these models has been demonstrated in numerous works. Also uncertainty involved in the computation of the source terms of the governing equation has been mentioned (Tolman and Chalikov, 1996). Wen at al, (1999) extensively argued the deficiencies of third-generation wave model, including incompatibility and uncertainty in the computation of source terms, limitation in model’s performance, inaccuracy caused by the source term of nonlinear wave-wave interaction and difficulty of improvement, and proposed a new approach to wave modeling. The main purpose of this study is to get the performance of WEN model and to compare it with the third-generation SWAN model. 1 Institute of Physical Oceanography, Ocean University of China, Qingdao 266003 Printed on recycled paper 14 - 1 The Twelfth OMISAR Workshop on Ocean Models MODEL DESCRIPTION SWAN MODEL In this study, the widely used coastal wave model—SWAN (Booij et al., 1999; version 40.31) was employed. SWAN is a third-generation wave model which was designed specifically to simulate coastal ocean waves, compared with other third – generation models such as WAM and WAVEWATCH which are developed specifically for simulating waves in the deep water. The governing equation of SWAN is the wave action balance equation ∂N ∂Cg , x N ∂C g , y N ∂C g ,σ N ∂Cg ,θ N S + + + + = , (1) ∂t ∂x ∂y ∂σ ∂θ σ where N is the wave action density; σ is the relative frequency; θ is the wave direction; Cg is the propagation speed in ( x, y , σ ,θ ) space; and S is the total of source/sink terms expressed as wave energy density. For SWAN, the source terms are expressed by S = Sin + Sds ,w + Sds ,b + Snl 4 + Snl 3 (2) The terms in the right-hand side of the equation respectively mean the wind input, whitecapping, bottom friction, quadruplet wave-wave interactions, and triad wave-wave interactions. The terms of bottom friction and triad wave-wave interaction can be neglected in deep water calculations. WEN MODEL In WEN model, the wave spectrum is considered as a combination of wind-wave and swell components. The wind-wave component is defined as one, which receives energy directly from the wind, and from other components through nonlinear wave-wave interaction. The swell component, on the other hand, receives no energy from the wind and receives on energy through the nonlinear interaction. All components are to be computed from spectral transport equation, v ∂F (3) + ∇g(Cg F ) = S ∂t by employing the splitting scheme F ′ − Fi (4) =S ∆t v Fi +1 − F ′ + ∇g(C g F ′) = 0 (5) ∆t Where Fi and Fi +1 are the spectral values of a wave component at two successive time steps i and i + 1 respectively, the length of the time interval being ∆t . For the wind-wave component, the value of F ′ is determined by the empirical 14 – 2 Printed on recycled paper The Twelfth OMISAR Workshop on Ocean Models formula of wave growth and a presupposed spectral form. F ′ in Eq.(4) can be put in the form F ′ = F (ω ,θ ) t =t +∆t (6) e where te is called equivalent time representing the time required for the spectral component growing to the magnitude Fi under the constant wind speed over the time interval ∆t . The relationship of the zeroth spectral moment m0 with time under constant wind condition was determined by Wen at al, (1999) U 3.09 0.91 141g 0.344 d 0.8 0.91 2 t k d tanh (1.4 ) tanh (7) s 1.09 U 1.14t 0.456 tanh 0.456 (1.4k s d ) 2 g ω 1 k s = 1.21 0 (8) g tanh( k s d ) where m0 is the zeroth spectral moment; d is water depth; U is the wind speed at 10 meter height; g is the acceleration of gravity; ω0 is the peak frequency, and k s is the wave number of significant wave. m0 = 8.54 × 10−8 The presupposed spectral shape is proposed by Wen et al. (1995) For the computation of swell component, the source function in Eq.(4) S = Sds + Sdb (9) The terms in the right-hand side of the equation respectively mean dissipation by turbulent viscosity and dissipation by bottom friction. MODEL PERFORMANCE Several cases of both WEN and SWAN modeling are carried out in the Bohai Sea. The observed data is positioned at the point ( 118o48′32′′E ,38o13′8′′ N ) with water depth of 8m (shown in fig.1). The observed wave data was recorded from the time period of 1998.04.22.20—1998.04.25.02(55 hours) and 1999.04.02.14 —1999.04.02.14 (38 hours). The data was sampled at every 1 hour. The computational region of the model extends from 117o32′E to 122o16′E in longitude and from 37o6′ N to 40 56′ N in latitude. The spatial resolution is set to be 2′ for both longitude and o latitude, and the time step for the computation is set to be 900 s for the two models. The simulated significant wave height and significant wave period shown in fig.2 and fig.3 agree with the observed data. The significant wave height modeled by WEN is lower than simulated by SWAN, and the significant wave period modeled by WEN is longer than SWAN got. The computed spectra of WEN and SWAN model have the similar spectral shape (shown in fig. 4). Printed on recycled paper 14 - 3 The Twelfth OMISAR Workshop on Ocean Models Cases of the modeling are also carried out in the Northwest Pacific ocean. The buoy station in the model domain is located at 121.923o E , 25.096o N (shown in fig. 5). The Computational region covers from 115o E to 132o E in longitude and from 15o N to 35o N in latitude. Spatial resolution is set to be 1/ 6o for both longitude and latitude, and time step is set to be 1200 s for both SWAN and WEN model. The comparison of simulated significant wave height with observed during the period of 2003.6-2003.12 is shown in fig. 6. The significant wave height modeled by both of WEN and SWAN generally agree with that observed by buoy Gathering all the simulated and observed significant wave height data (shown in fig. 7-9), we get that when wave height is lower than about 1.0 meter, significant wave height simulated by WEN model is lower than that observed, and also has difference with that simulated by SWAN. WEN model performs well except a few points (shown in fig. 7) when the wave height is higher than about 1.0 meter. CONCLUSION WEN model, as a new approach of wave modeling, has been validated in our numerical experiments, which is still not full tested and developed like the third-generation wave models. In the numerical experiments, the simulated significant wave height by WEN model generally agrees with that observed, but has deviation from the observed data when wave height is small. It needs more tests and more improvements to get better performance. REFERENCES Booij, N., R.C.Ris, and L. H. Holthuijsen, 1999: A third-generation wave model for coastal regions. 1. Model description and validation, J, Geophys, Res,.104, 7649-7666 Tolman H L and Chalikov D. Source terms in a third-generation wind-wave model. J Phys Oceanogr, 1996, 26; 2497-2518 WAMDI Group, 1988. The WAM model-a third generation ocean wave prediction model. J. Phys. Oceanogr.,18, 1775-1810. Wen S C, Wu K J, Guan C L, et al. A proposed directional function and wind-wave directianl spectrum. Acta Oceanol Sinica, 1995, 14; 155-166 Wen S C, Qian C C,Ye A L. et al., Wave modeling based on an adopted wind-wave spectrum, J. Ocean Univ. Qingdao, 1999, 29:345. 14 – 4 Printed on recycled paper The Twelfth OMISAR Workshop on Ocean Models Fig. 1 Computational region in Bohai sea and the observe location Fig. 2 Comparison of hs(m), ts(s) among measured, WEN and SWAN simulated. Time is from 1998.04.22:20 to 1998.04.25:02 Printed on recycled paper 14 - 5 The Twelfth OMISAR Workshop on Ocean Models Fig. 3 Comparison of hs(m), ts(s) among measured, WEN and SWAN simulated. Time is from 1999.04.01.00 to 1999.04.02.14 Fig. 4 Comparison of frequency spectra between SWAN and WEN simulated in Bohai sea at 1998.04.23.20, 1998.04.24.14, 1999.04.01.12 and 1999.04.02.00. 14 – 6 Printed on recycled paper The Twelfth OMISAR Workshop on Ocean Models Fig. 5 Computation region in Northwest Pacific ocean and bouy Longdong location. Printed on recycled paper 14 - 7 The Twelfth OMISAR Workshop on Ocean Models Fig. 6 Comparison of hs(m) among bouy observed, WEN and SWAN simulated during the period form 2003.06 to 2003.12 seven months. 14 – 8 Printed on recycled paper The Twelfth OMISAR Workshop on Ocean Models Fig. 7 The comparison of hs between WEN modeled and observed Fig. 8 The comparison of hs between WEN and SWAN simulated Printed on recycled paper 14 - 9 The Twelfth OMISAR Workshop on Ocean Models Fig. 9 The comparison of hs between SWAN modeled and observed 14 – 10 Printed on recycled paper
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